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Recruiters
Turn stacks of resumes into queryable candidate profiles
Resumes arrive in inconsistent formats. Manually parsing skills, experience, and education from hundreds of PDFs is unsustainable. Endpoints extracts candidate info into structured profiles you can query and compare programmatically.
The problem
- Resumes arrive in inconsistent formats.
- Manually parsing skills, experience, and education from hundreds of PDFs is unsustainable.
- Comparing candidates means constant context-switching.
The solution
- Scan resumes and job descriptions.
- Endpoints extracts candidate info, skills, experience, education, and contact details into structured profiles.
- Query and compare candidates programmatically.
How it works
Step 1
Upload resumes
Upload 50 candidate resumes (PDF/images)
Step 2
AI builds profiles
AI extracts: name, email, skills, years of experience, education, previous roles
Step 3
Query your endpoint
Query /candidates/senior-engineer for all structured profiles
Step 4
Filter via API
Filter via API: candidates with Python + 5yr experience
Sample API response
GET/candidates/senior-engineer
{
"name": "Alex Chen",
"email": "alex@example.com",
"phone": "+1-555-0123",
"skills": [
"Python",
"TypeScript",
"AWS",
"PostgreSQL"
],
"experience": [
{
"role": "Senior Engineer",
"company": "TechCo",
"years": 3
},
{
"role": "Software Engineer",
"company": "StartupXYZ",
"years": 2
}
],
"education": [
{
"degree": "BS Computer Science",
"school": "MIT",
"year": 2019
}
],
"certifications": [
"AWS Solutions Architect"
],
"yearsOfExperience": 5
}Ready to get started?
Turn any document into a structured API endpoint. Free to start, no credit card required.
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